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Cross-Situational Learning Towards Robot Grounding
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In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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| 2 |
Cross-Situational Learning Towards Robot Grounding
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In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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| 3 |
Chess AI: Competing Paradigms for Machine Intelligence
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In: Entropy; Volume 24; Issue 4; Pages: 550 (2022)
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| 4 |
Singing voice separation using waveform-level deep neural networks ... : Διαχωρισμός Φωνητικών χρησιμοποιώντας Βαθιά Νευρωνικά Δίκτυα σε Επίπεδο Κυματομορφών ...
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| 5 |
Καταστολή ηχητικού θορύβου μέσω τεχνικών μηχανικής μάθησης ...
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| 6 |
Analysis of the Full-Size Russian Corpus of Internet Drug Reviews with Complex NER Labeling Using Deep Learning Neural Networks and Language Models
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In: Applied Sciences; Volume 12; Issue 1; Pages: 491 (2022)
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| 7 |
Implementing a Statistical Parametric Speech Synthesis System for a Patient with Laryngeal Cancer
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In: Sensors; Volume 22; Issue 9; Pages: 3188 (2022)
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| 8 |
Recognition of the Mental Workloads of Pilots in the Cockpit Using EEG Signals
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In: Applied Sciences; Volume 12; Issue 5; Pages: 2298 (2022)
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| 9 |
Ultrasonic Doppler Based Silent Speech Interface Using Perceptual Distance
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In: Applied Sciences; Volume 12; Issue 2; Pages: 827 (2022)
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| 10 |
Evaluating Novel Speech Transcription Architectures on the Spanish RTVE2020 Database
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In: Applied Sciences; Volume 12; Issue 4; Pages: 1889 (2022)
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| 11 |
Advancements in Oncology with Artificial Intelligence—A Review Article
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In: Cancers; Volume 14; Issue 5; Pages: 1349 (2022)
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| 12 |
Deep Learning-Based End-to-End Language Development Screening for Children Using Linguistic Knowledge
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In: Applied Sciences; Volume 12; Issue 9; Pages: 4651 (2022)
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| 13 |
A Combined Text-Based and Metadata-Based Deep-Learning Framework for the Detection of Spam Accounts on the Social Media Platform Twitter
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In: Processes; Volume 10; Issue 3; Pages: 439 (2022)
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| 14 |
An Experimental Analysis of Various Machine Learning Algorithms for Hand Gesture Recognition
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In: Electronics; Volume 11; Issue 6; Pages: 968 (2022)
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| 15 |
Artificial Neural Networks Combined with the Principal Component Analysis for Non-Fluent Speech Recognition
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In: Sensors; Volume 22; Issue 1; Pages: 321 (2022)
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| 16 |
Methods, Models and Tools for Improving the Quality of Textual Annotations
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In: Modelling; Volume 3; Issue 2; Pages: 224-242 (2022)
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Abstract:
In multilingual textual archives, the availability of textual annotation, that is keywords either manually or automatically associated with texts, is something worth exploiting to improve user experience and successful navigation, search and visualization. It is therefore necessary to study and develop tools for this exploitation. The paper aims to define models and tools for handling textual annotations, in our case keywords of a scientific library. With the background of NLP, machine learning and deep learning approaches are presented. They allow us, in supervised and unsupervised ways, to increase the quality of keywords. The different steps of the pipeline are addressed, and different solutions are analyzed, implemented, evaluated and compared, using statistical methods, machine learning and artificial neural networks as appropriate. If possible, off-the-shelf solutions will also be compared. The models are trained on different datasets already available or created ad hoc with common characteristics with the starting dataset. The results obtained are presented, commented and compared with each other.
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Keyword:
LSTM; machine learning algorithms; multilingual datasets; neural networks; semantic relatedness; sequence2sequence; syntactic similarity; word embedding models
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URL: https://doi.org/10.3390/modelling3020015
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| 17 |
Performance Study on Extractive Text Summarization Using BERT Models
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In: Information; Volume 13; Issue 2; Pages: 67 (2022)
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| 18 |
A Bottleneck Auto-Encoder for F0 Transformations on Speech and Singing Voice
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In: Information; Volume 13; Issue 3; Pages: 102 (2022)
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| 19 |
Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators
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